• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.459-471
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• 2009

The purpose of the study is to examine the effect of VMD image appropriateness in apparel shopping contexts. Two competing models are utilized. The first model is developed from the emotion-cognition theory which explains that environmental cues(i.e., VMD image appropriateness) generate consumers' emotion, and in turn, consumers' behaviors. The second model is developed based on the cognitive theory of emotions and posits that environmental cues stimulates consumers' cognitive perceptions of retail environments, subsequently influencing consumers' emotional and behavioral response. A 2(VMD image appropriateness: high vs. low) between-subjects factorial design experiment was conducted. Female college students(n=592) participated in the experiment. Using structural equation modeling the study found that the emotion-cognition model better explains the effect of VMD image appropriateness on consumers' emotional, cognitive, and behavioral responses.

• Management & Information Systems Review
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• v.33 no.1
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• pp.263-278
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• 2014

The purpose of our research was to understand the effect of consumers' regulatory focus (i.e., promotion focused vs. prevention focused) on their evaluation of clothing store's VMD and store visiting intention. The results showed that the hedonic and utilitarian benefits of store VMD have significantly a positive impact on visiting intentions. In addition, the relationship between perceived hedonic benefits and store visiting intention was significantly different for PO and PE groups; hedonic benefits explained significantly more of the variance in store visiting intention for promotion-focused group than prevention-focused group. Conversely, utilitarian benefits explained significantly more of the variance in store visiting intention for PE than PO group. These results supported both hypotheses and showed that consumers with a promotion focus have stronger visiting intention toward the VMD with hedonic benefits compared with VMD with utilitarian benefits. Conversely, consumers with a prevention focus have stronger visiting intention toward the VMD with utilitarian benefits compared with VMD with hedonic benefits.

• Archives of design research
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• v.11 no.3
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• pp.209-216
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• 1998

In recent enviornment changes of retail business, the importance of image process-evaluating visual data decision-in consumers' behavior has become prominent. With these understandings this research the problems and differentiation of C.I & MD in domestic shopping mall and also how to display images efficiently according to store concept which will emphasize it's differentiation and intergration value.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.5 s.98
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• pp.91-97
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• 1999

The background of appearing MMS is to cope with the difficulty that occurred in constructing CIM with multi-vendor production devices such as CNC, PLC and robot. But so far the popularized use of MMS service in machine shop is not generalized because of economical and environmental reason. In this paper to solve this problem the CNC_VMD gateway for 3 types of heterogeneous machine tools in which MMS support is not available is developed and its performance is evaluated in shop floor having CIM environment. The developed VMD has the functions such as MMS service, driver for CNC interface and supporting for network. Non-MMS compatible machine tool can be MMS-compatible by using the developed gateway with CNC_VMD.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.5
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• pp.224-230
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• 2013

Lane boundary detection plays a key role in the driver assistance system. This study proposes a robust method for detecting lane boundary in severe environment. First, a horizontal line detects form the original image using improved Vertical Mean Distribution Method (iVMD) and the sub-region image which is under the horizontal line, is determined. Second, we extract the lane marking from the sub-region image using Canny edge detector. Finally, K-means clustering algorithm classifi left and right lane cluster under variant illumination, cracked road, complex lane marking and passing traffic. Experimental results show that the proposed method satisfie the real-time and efficient requirement of the intelligent transportation system.

• Wind and Structures
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• v.37 no.6
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• pp.445-460
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• 2023

Accurate estimation of modal parameters (i.e., natural frequency, damping ratio) of tall buildings is of great importance to their structural design, structural health monitoring, vibration control, and state assessment. Based on the combination of variational mode decomposition, smoothed discrete energy separation algorithm-1, and Half-cycle energy operator (VMD-SH), this paper presents a method for structural modal parameter estimation. The variational mode decomposition is proved to be effective and reliable for decomposing the mixed-signal with low frequencies and damping ratios, and the validity of both smoothed discrete energy separation algorithm-1 and Half-cycle energy operator in the modal identification of a single modal system is verified. By incorporating these techniques, the VMD-SH method is able to accurately identify and extract the various modes present in a signal, providing improved insights into its underlying structure and behavior. Subsequently, a numerical study of a four-story frame structure is conducted using the Newmark-β method, and it is found that the relative errors of natural frequency and damping ratio estimated by the presented method are much smaller than those by traditional methods, validating the effectiveness and accuracy of the combined method for the modal identification of the multi-modal system. Furthermore, the presented method is employed to estimate modal parameters of a full-scale tall building utilizing acceleration responses. The identified results verify the applicability and accuracy of the presented VMD-SH method in field measurements. The study demonstrates the effectiveness and robustness of the proposed VMD-SH method in accurately estimating modal parameters of tall buildings from acceleration response data.

• Korean Institute of Interior Design Journal
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• v.22 no.6
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• pp.220-232
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• 2013

Ever-evolving diverse communication tools bring numerous changes and improvements into the lives of humans. It is extremely important to provide visual information when communicating with consumers in the commercial arena because humans acquire over eighty percent of the information around them through sense of sight. One cannot compete with just sheer quality in today's world. Therefore, the applications of digital technology in the visual merchandising became crucial, for it can dramatically improve the market value. Among these applications is digital signage, a new media for esthetic experience. I strongly believe that this would be a new marketing tool for the brand's distinctive and unique publicity. This research has been conducted in order to find out how the fast-growing digital signage, defined by the contents, has become not just a mere digital video clip but an esthetic merchandising tool that can produce various effective marketing strategies; and to discover the characteristics that this application has brought out in the visual merchandising field of fashion stores' global SPA brands. Based on the market case study, analyses have been made for the digital signage types and strategies regarding the visual merchandising expressive elements and for the effects the digital signage application will have on publicity. According to the results, the digital signage has proven to be informative, diversely applicable and contributes greatly to the increase in sales and to the improvement of company and brand image. Thus, it is much more than just a media tool for advertisement.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.179-179
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• 2023

This study suggests a new approach of water level forecasting for extended lead times using original data preprocessing with variational mode decomposition (VMD). Here, two machine learning algorithms including light gradient boosting machine (LGBM) and random forest (RF) were considered to incorporate extended lead times (i.e., 5, 10, 15, 20, 25, 30, 40, and 50 days) forecasting of water levels. At first, the original data at two water level stations (i.e., SW173 and SW269 in Bangladesh) and their decomposed data from VMD were prepared on antecedent lag times to analyze in the datasets of different lead times. Mean absolute error (MAE), root mean squared error (RMSE), and mean squared error (MSE) were used to evaluate the performance of the machine learning models in water level forecasting. As results, it represents that the errors were minimized when the decomposed datasets were considered to predict water levels, rather than the use of original data standalone. It was also noted that LGBM produced lower MAE, RMSE, and MSE values than RF, indicating better performance. For instance, at the SW173 station, LGBM outperformed RF in both decomposed and original data with MAE values of 0.511 and 1.566, compared to RF's MAE values of 0.719 and 1.644, respectively, in a 30-day lead time. The models' performance decreased with increasing lead time, as per the study findings. In summary, preprocessing original data and utilizing machine learning models with decomposed techniques have shown promising results for water level forecasting in higher lead times. It is expected that the approach of this study can assist water management authorities in taking precautionary measures based on forecasted water levels, which is crucial for sustainable water resource utilization.

• Corrosion Science and Technology
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• v.16 no.3
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• pp.151-159
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• 2017

The MA8 alloy (formula Mg-Mn-Се) has been shown to have greater corrosion stability than the VMD10 magnesium alloy (formula Mg-Zn-Zr-Y) in chloride-containing solutions by Scanning Vibrating Electrode Technique (SVET) and by optical microscopy, gravimetry, and volumetry. It has been established that the crucial factor for the corrosion activity of these samples is the occurrence of microgalvanic coupling at the sample surface. The peculiarities of the kinetics and mechanism of the corrosion in the local heterogeneous regions of the magnesium alloy surface were investigated by localized electrochemical techniques. The stages of the corrosion process in artificial defects in the coating obtained by plasma electrolytic oxidation (PEO) at the surface of the MA8 magnesium alloy were also studied. The analysis of the experimental data enabled us to determine that the corrosion process in the defect zone develops predominantly at the magnesium/coating interface. Based on the measurements of the corrosion rate of the samples with PEO and composite polymer-containing coatings, the best anticorrosion properties were displayed by the composite polymer-containing coatings.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.927-938
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• 2004

The purposes of this study were to find the difference of clothing life-style and to examine clothing buying behaviors on personality types. Personality types were identified using Myers-Briggs Type indicator(MBTI). The data were collected from 360 female adults using a questionnaire to clothing lifestyle and clothing buying behavior. The data were analysed with factor analysis, one- way ANOVA and Duncan＇s multiple range test. Results are summarized as follows: First, ＇Fashion-oriented＇, ＇self-regulate-oriented＇, ＇activity-oriented＇, ＇economic-oriented＇, ＇social-oriented＇, ＇leisure-oriented＇ and ＇conservationoriented＇ clothing life-style had a significant difference of psychological types. Second, Extroverted(E) or Sensation(S) or Feeling(F) types regarded significantly higher in ＇VMD＇, ＇store atmosphere＇, ＇famous brand name and store name＇ as criteria for store selection than combination types(IN, IT, NT) of Introverted(Ⅰ), iNtuition(N), Thinking(T). Third, Sensation Judgement types(SJs) of a patron temperament preferred a ＇plan-oriented＇ life-style and considered ＇famous brand name and store name＇ important. Sensation Perceiving types(SPs) of an artist temperament had an ＇unplanned＇ clothing life-style and a significantly higher impulsive buying orientation than SJs.